Software Engineer

Machine Learning and Data Science services are is the most important for KarmaHub. It is a highly competitive & rapidly growing market and we aim to win it

The AI team is a growing agile team tasked with creating machine learning tools and services that will drive business and engineering goals and efforts.

As a member of our team, you will turn this data into actionable insights that will drive feature improvements to the ML services and its customers. Our vision is to be have a balanced team of data science and development skills. If you dream of being able to use data science/applied statistical techniques like: anomaly detection, machine learning, expert systems and/or experimentation, then you should apply.

Responsibilities:

Provide technical support to project team members; contribute to company’s intellectual property development; evaluate user requests for new or modified programs; consult with user to identify current operating procedures to clarify program objectives; formulate plans outlining steps required to develop software programs, using structured analysis and design;

Prepare flowcharts and diagrams to illustrate sequence of steps, program must follow and to describe logical operations involved; write documentation to describe program development, logic, coding and corrections; oversee installation of hardware and software, monitor performance of program after implementation; conduct user training, perform periodic system updates, interact with users for future enhancements; and resolve software application problems.

Employ machine learning to detect and correlate problems

Design new tools and processes to enable better data modeling, analysis, and experimentation

Build models, simulations, scalable and automated analytical systems

Drive improvements to the product design and architecture, leading to increased customer satisfaction

Lead and collaborate with experts from across the company to advance data science best practices

Educate and train others on modern applications of data science techniques

Learn how to build and sustain engagement from all levels of an organization

Interacting with the client while reviewing the Machine Learning platform services delivery, and gathering business requirements.